Natural Language Inference Courses and Certifications

Improving Natural Language Understanding Through Adversarial Testing

Explore adversarial testing in natural language understanding to challenge and improve AI systems. Learn to identify weaknesses and develop robust models for real-world applications.

• YouTube
• 59 minutes
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Towards Large-Scale Natural Language Inference with Distributional Semantics

Explore natural language inference using distributional semantics, covering summarization, semantic models, and knowledge induction for advanced text analysis.

• YouTube
• 50 minutes
• On-Demand
• Free Video

Transformer Models and BERT Model

74 ratings at Coursera

Explore Transformer architecture and BERT model, learning key components like self-attention and applications in text classification, question answering, and natural language inference.

• Coursera
• 51 minutes
• On-Demand
• Free Online Course (Audit)

James Briggs

Today Unsupervised Sentence Transformers, Tomorrow Skynet - How TSDAE Works

Explore unsupervised fine-tuning for sentence transformers using TSDAE. Learn to train models without labeled data, ideal for domains and languages with limited resources.

• YouTube
• 44 minutes
• On-Demand
• Free Video

Institute for Advanced Study

Tradeoffs Between Robustness and Accuracy - Percy Liang

Explore tradeoffs between robustness and accuracy in machine learning, covering topics like spurious correlations, regularization, and model complexity with Percy Liang.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Transformer Models and BERT Model

Explore Transformer architecture and BERT model, learning key components like self-attention and applications in text classification, question answering, and natural language inference.

• Google Cloud Skills Boost
• 30 minutes
• On-Demand
• Free Certificate

Transformer Models and BERT Model

This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model.

• Pluralsight
• 24 minutes
• On-Demand
• Free Trial Available

Toronto Machine Learning Series (TMLS)

Pre-Trained Multilingual Sequence to Sequence Models for NMT - Tips, Tricks and Challenges

Explore pre-trained multilingual sequence-to-sequence models for Neural Machine Translation. Learn adaptation techniques, training tips, and evaluation strategies while addressing challenges in implementation.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

Google Cloud Tech

Transformer Models and BERT Model: Overview

Explore Transformer architecture and BERT model, understanding key components and applications in text classification, question answering, and natural language inference.

• YouTube
• 12 minutes
• On-Demand
• Free Video

Discover AI

Knowledge-Adapted Fine-Tuning for Medical Vision Language Models

Explore how Knowledge-Adapted Fine-Tuning (KnowAda) improves vision-language models in medical AI, reducing hallucinations while maintaining accurate image descriptions and diagnostic capabilities.

• YouTube
• 26 minutes
• On-Demand
• Free Video

Transformer Models and BERT Model - 简体中文

本课程向您介绍 Transformer 架构和 Bidirectional Encoder Representations from Transformers (BERT) 模型。您将了解 Transformer 架构的主要组成部分，例如自注意力机制，以及该架构如何用于构建 BERT 模型。您还将了解可以使用 BERT 的不同任务，例如文本分类、问答和自然语言推理。完成本课程估计需要大约 45 分钟。

• Coursera
• 48 minutes
• On-Demand
• Free Online Course (Audit)

Transformer Models and BERT Model - Français

Découvrez l'architecture Transformer et le modèle BERT, leurs composants clés et applications en traitement du langage naturel, de la classification de texte aux questions-réponses.

• Coursera
• 48 minutes
• On-Demand
• Free Online Course (Audit)

Transformer Models and BERT Model - Português Brasileiro

Introdução à arquitetura de transformador e modelo BERT, abordando componentes-chave e aplicações em tarefas de processamento de linguagem natural.

• Coursera
• 48 minutes
• On-Demand
• Free Online Course (Audit)

Transformer Models and BERT Model - 繁體中文

這堂課程將說明變換器架構，以及基於變換器的雙向編碼器表示技術 (BERT) 模型，同時帶您瞭解變換器架構的主要組成 (如自我注意力機制) 和如何用架構建立 BERT 模型。此外，也會介紹 BERT 適用的各種任務，像是文字分類、問題回答和自然語言推論。課程預計約 45 分鐘。

• Coursera
• 48 minutes
• On-Demand
• Free Online Course (Audit)

Transformer Models and BERT Model - Italiano

Esplora l'architettura Transformer e il modello BERT, apprendendo i componenti chiave e le applicazioni pratiche nell'elaborazione del linguaggio naturale come classificazione del testo e risposta alle domande.

• Coursera
• 51 minutes
• On-Demand
• Free Online Course (Audit)